Marc Aumercier

1.8k citations
43 papers · 1.5k · h-index 20

Impact in

Papers in

    • Ubiquitin and proteasome pathways 6
    • DNA Repair Mechanisms 5
    • Genomics and Chromatin Dynamics 5
    • RNA and protein synthesis mechanisms 4
    • PARP inhibition in cancer therapy 5

Marc Aumercier

41 papers receiving 1.5k citations

Peers

Marc Aumercier
Comparison fields: 5 of 103
  • Immunology 428
  • Infectious Diseases 313
  • Molecular Medicine 78
  • Molecular Biology 668
  • Epidemiology 306
Replace Fumiko Kirikae with:
Fumiko Kirikae Japan
Priyanka Verma India
Xiaoning Si Canada
Fernando Rock United States
Jeng‐Pyng Shaw United States
Kazutaka Oda Japan
Javed N. Agrewala India
Susanne Schroeder United Kingdom
Mathilde Bonnet France
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Citations per field
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Citations per year

Countries citing papers authored by Marc Aumercier

Since Specialization
Citations

This map shows the geographic impact of Marc Aumercier's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marc Aumercier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Aumercier more than expected).

Fields of papers citing papers by Marc Aumercier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc Aumercier. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marc Aumercier. The network helps show where Marc Aumercier may publish in the future.

Co-authors

The 25 scholars most cited alongside Marc Aumercier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marc Aumercier Line = papers co-authored together Marc Aumercier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001210
2 2001196
3 2009138
4 2003130
5 2000100
6 200277
7 199269
8 202047
9 199542
10 200939
11 199439
12 199935
13 199833
14 199032
15 200930
16 201329
17 200829
18 199428
19 200626
20 199424

About Marc Aumercier

Marc Aumercier is a scholar working on Molecular Biology, Oncology, Epidemiology, Public Health, Environmental and Occupational Health and Immunology, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (6 papers), Ubiquitin and proteasome pathways (6 papers), DNA Repair Mechanisms (5 papers), Genomics and Chromatin Dynamics (5 papers), PARP inhibition in cancer therapy (5 papers), RNA and protein synthesis mechanisms (4 papers), Trypanosoma species research and implications (4 papers) and Microbial Natural Products and Biosynthesis (3 papers). The work is most often cited by research in Immunology (428 citations), Infectious Diseases (313 citations), Molecular Medicine (78 citations), Molecular Biology (668 citations) and Epidemiology (306 citations). Marc Aumercier has collaborated with scholars based in France, Morocco and United States. Frequent co-authors include David Baillat, Camille Locht, André‐Bernard Tonnel, Thibaut Gentina, Philippe Lassalle, David Béchard, Arnaud Scherpereel, Agnès Bégué, Christian Sergheraert and Alain R. Baulard. Their work appears in journals such as Journal of Biological Chemistry, Oncogene, Biochemical and Biophysical Research Communications, The Journal of Antibiotics and Journal of Antimicrobial Chemotherapy.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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